Computer-Implemented System And Method For Building Cluster Spine Groups

1. A computer-implemented system for building spine groups, comprising the steps of: a display to display cluster spines, each comprising two or more clusters; an identification module to identify one or more candidate anchor clusters on each of the cluster spines; and a placement module to place additional cluster spines into the display, comprising: a selection submodule to select one of the additional cluster spines and identifying one of the displayed cluster spines that is most similar to the selected additional cluster spine; a formation submodule to form a spine group by grafting one of the clusters on the additional cluster spine to one of the candidate anchor clusters of the most similar cluster spine; and a placement submodule to change an angle of the selected additional cluster spine when the most similar cluster spine and the selected additional cluster spine exceed a maximum line segment.

2. A system according to claim 1 , further comprising: an arrangement module to arrange the spine group and other spine groups, as a set of spine groups, in the display, comprising: an a spine group identification module to identify one or more of the spines groups from the set that are unique from the other spine groups; and a spine group placement module to place the unique spine groups around a circle defined in a center of the display.

3. A system according to claim 2 , further comprising: a remaining group placement module to place the remaining spine groups in the set in relation to the unique spine groups.

4. A system according to claim 3 , further comprising: an adjustment module to adjust a position of one or more of the unique spine groups within the display based on the placed remaining spine groups.

5. A system according to claim 1 , further comprising: a similarity determination module to determine a similarity between the selected additional cluster spine and the most similar displayed cluster spine based on one of a maximum, minimum, and median similarity bound.

6. A system according to claim 1 , further comprising: a further selection module to select a further one of the additional cluster spines; a comparison module to compare the further additional cluster spine with the displayed cluster spines; and a seed determination module to designate the further additional cluster spine as seed for a further spine group when the further additional cluster spine fails to satisfy a predetermined similarity with each of the displayed cluster spines.

7. A system according to claim 1 , further comprising: a further selection module to select a further one of the additional cluster spines; a comparison module to compare the further additional cluster spine with the displayed cluster spines; a similarity module to identify one of the displayed cluster spines as most similar to the further additional cluster spine; a grafting attempt module to attempt to graft the further additional cluster spine to an anchor cluster of the displayed cluster spine most similar to the further additional cluster spine; and a grafting selection module to select the next most similar displayed cluster spine for grafting when the graft attempt is unsuccessful.

8. A system according to claim 1 , further comprising: an anchor cluster identification module to identify one or more anchor clusters on the selected additional cluster spine for grafting with one or more further additional cluster spines.

9. A system according to claim 1 , wherein the maximum line segment comprises a predetermined number of clusters.

10. A system according to claim 1 , further comprising: an anchor cluster selection module to select the candidate anchor cluster to which the identified cluster on the additional cluster spine is grafted, comprising: a similarity module to determine a similarity between the identified cluster and each of the candidate anchor clusters; and an anchor cluster identification module to identify the selected candidate anchor cluster as most similar to the identified cluster.

11. A computer-implemented method for building spine groups, comprising the steps of: displaying cluster spines, each comprising two or more clusters, in a display; identifying one or more candidate anchor clusters on each of the cluster spines; and placing additional cluster spines into the display, comprising: selecting one of the additional cluster spines and identifying one of the displayed cluster spines that is most similar to the selected additional cluster spine; forming a spine group by grafting one of the clusters on the additional cluster spine to one of the candidate anchor clusters of the most similar cluster spine; and changing an angle of the selected additional cluster spine when the most similar cluster spine and the selected additional cluster spine exceed a maximum line segment.

12. A method according to claim 11 , further comprising: arranging the spine group and other spine groups, as a set of spine groups, in the display, comprising: identify one or more of the spines groups from the set that are unique from the other spine groups; and placing the unique spine groups around a circle defined in a center of the display.

13. A method according to claim 12 , further comprising: placing the remaining spine groups in the set in relation to the unique spine groups.

14. A method according to claim 13 , further comprising: adjusting a position of one or more of the unique spine groups within the display based on the placed remaining spine groups.

15. A method according to claim 11 , further comprising: determining a similarity between the selected additional cluster spine and the most similar displayed cluster spine based on one of a maximum, minimum, and median similarity bound.

16. A method according to claim 11 , further comprising: selecting a further one of the additional cluster spines; comparing the further additional cluster spine with the displayed cluster spines; and designating the further additional cluster spine as seed for a further spine group when the further additional cluster spine fails to satisfy a predetermined similarity with each of the displayed cluster spines.

17. A method according to claim 11 , further comprising: selecting a further one of the additional cluster spines; comparing the further additional cluster spine with the displayed cluster spines; identifying one of the displayed cluster spines as a most similar cluster spine to the further additional cluster spine; attempting to graft the further additional cluster spine to an anchor cluster of the displayed cluster spine most similar to the further additional cluster spine; and selecting the next most similar displayed cluster spine for grafting when the graft attempt is unsuccessful.

18. A method according to claim 11 , further comprising: identifying one or more anchor clusters on the selected additional cluster spine for grafting with one or more further additional cluster spines.

19. A method according to claim 11 , wherein the maximum line segment comprises a predetermined number of clusters.

20. A method according to claim 11 , further comprising: selecting the candidate anchor cluster to which the identified cluster on the additional cluster spine is grafted, comprising: determining a similarity between the identified cluster and each of the candidate anchor clusters; and identifying the selected candidate anchor cluster as most similar to the identified cluster.